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shawgpt-ft

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avramesh/ft-attempt2

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  1. README.md +12 -12
  2. adapter_model.safetensors +1 -1
  3. runs/Jul05_19-36-49_palomino/events.out.tfevents.1720208210.palomino.768072.0 +3 -0
  4. runs/Jul05_19-39-22_palomino/events.out.tfevents.1720208362.palomino.768548.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # shawgpt-ft
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- This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.3938
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  ## Model description
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@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 4.0211 | 0.9231 | 3 | 3.4617 |
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- | 3.8387 | 1.8462 | 6 | 3.2827 |
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- | 3.6289 | 2.7692 | 9 | 3.1373 |
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- | 2.5801 | 4.0 | 13 | 2.9469 |
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- | 3.2557 | 4.9231 | 16 | 2.7959 |
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- | 3.0471 | 5.8462 | 19 | 2.6640 |
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- | 2.8925 | 6.7692 | 22 | 2.5527 |
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- | 2.0712 | 8.0 | 26 | 2.4415 |
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- | 2.6765 | 8.9231 | 29 | 2.3988 |
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- | 1.8573 | 9.2308 | 30 | 2.3938 |
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  ### Framework versions
 
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  # shawgpt-ft
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+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1847
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 1.2637 | 0.9992 | 652 | 1.1808 |
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+ | 1.142 | 2.0 | 1305 | 1.1452 |
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+ | 1.0811 | 2.9992 | 1957 | 1.1300 |
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+ | 1.0268 | 4.0 | 2610 | 1.1262 |
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+ | 0.9815 | 4.9992 | 3262 | 1.1269 |
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+ | 0.9389 | 6.0 | 3915 | 1.1323 |
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+ | 0.9061 | 6.9992 | 4567 | 1.1498 |
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+ | 0.8749 | 8.0 | 5220 | 1.1575 |
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+ | 0.8523 | 8.9992 | 5872 | 1.1676 |
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+ | 0.8351 | 9.9923 | 6520 | 1.1847 |
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  ### Framework versions
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